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DOVER, DE, USA, 10 May 2024 —ChainGPT, the AI-powered Web3 infrastructure providing a diverse suite of tools and services, announces the exclusive IDO launch of its latest launchpad project: Wisdom AI, an all-in-one AI-powered crypto advisor and investment assistant. With the support of ChainGPT Pad’s IDO launch pad, Wisdomise AI is set to launch its $WSDM token on May 13, advancing its vision of bringing AI-powered investment and wealth management services to a broad range of investors. As a premier decentralized fundraising and incubation platform for Web3 projects of all types, the ChainGPT Pad has been recognized as the most popular launchpad of 2023. The incubation program promotes emerging startups strategically hand-picked by ChainGPT based on their disruptive potential, transforming their ideas into viable business solutions. The program extensively assists in product development, smart contract implementation, and user engagement. Through expert mentorship and access to an extensive network of influential partners and investors, the ChainGPT Pad’s incubation provides Web3 startups with the tools to navigate inevitable challenges and thrive. Wisdomise AI’s platform helps broaden financial prosperity with a multifaceted approach that enables investors to overcome the complexity and overload of information in the market. Its all-encompassing solution includes proprietary tools and data for active and passive crypto investors while also featuring a fully automated trading platform for passive income built and managed by Wisdomise Brain, the core AI system behind Wisdomise AI’s platform. With its novel scalable, multilayer AI architecture, Wisdomise Brain empowers investors by learning, predicting, and executing trades efficiently. By bridging knowledge gaps through curating and structuring intelligence, Wisdomise AI makes complex financial data accessible and understandable to even the most inexperienced digital asset investors. The platform also works to benefit all its users by pooling collective insights in what it calls the “wisdom crowds” principle. Wisdomise AI harnesses advanced AI and personalized financial chatbots to enable effective and profitable engagement with digital asset marketplaces. As a platform promoting equal access to investment information, its platform provides users with carefully curated insights and investment opportunities primarily in crypto, but with additional market expansions in the near future. Wisdomise AI’s IDO information: Token price: $.02
IDO date: May 13
Token ticker: $WSDM
Allocation size: $400,000
Max supply: 1,000,000,000
Network: Polygon
Initial Market Cap without liquidity: $404,000
Initial Market Cap with liquidity: $854,000
Circulating supply at TGE: 42,700,000 (equal to 4.27%)
Fully Diluted Evaluation at TGE: $20,000,000
Vesting schedule: 15% at TGE, 1-month cliff, 6 months linear vesting “With advanced AI algorithms and its focus on community and accessibility, Wisdomise AI empowers all digital asset investors to navigate crypto’s complex terrain wisely by making the most informed decisions,” says Ilan Rakhmanov, CEO and Founder of ChainGPT. “We are excited about Wisdomise’s launch on our IDO platform and fully expect it to continue reaching its milestones. Wisdomise AI has a strong team, a growing community, a comprehensive roadmap, and most importantly, a clear vision indicating that it has all the tools necessary to transform how we interact with financial markets.” “Access to today’s structured monetary products and passive investment opportunities, both in crypto and TradFi, remains highly exclusive—but our platform tears down these barriers by enabling efficient digital asset investment and wealth management,” says Fardad Zand, CEO and Co-Founder of Wisdomise AI. “Our platform leverages AI to empower all Web3 users to invest, trade, and manage their digital assets in an efficient and user-friendly manner, and our IDO will underpin all future efforts. As we approach our token launch, we are grateful for the support and guidance ChainGPT provided us.” About ChainGPT: ChainGPT is the leading provider of AI-powered infrastructure for crypto, blockchain, and Web3. From a next-generation IDO launchpad and incubator to automated smart contract generation and auditing, as well as an advanced Web3 AI chatbot to AI-powered news aggregation, an AI training assistant, cross-chain swap, and an NFT generator, ChainGPT is a sophisticated, end-to-end solution for AI Web3 infrastructure. By integrating large language models (LLM) with blockchain, the company builds advanced, accessible, and user-friendly tools for all users. Further solidifying its position at the forefront of technological innovation, ChainGPT has established strategic partnerships and received recognition from notable tech leaders such as Google, Nvidia, BNBChain, and Chainlink. ChainGPT aims to advance the use of AI within the blockchain space. For more information, visit: <https://www.chaingpt.org/](https://www.chaingpt.org/) About Wisdomise AI: Wisdomise AI is an all-in-one, AI-powered platform offering users curated intelligence and exposure to investment opportunities in digital assets (to begin with) and later other financial markets. Achieving this goal will be one step ahead to “democratizing wealth creation,” improving financial inclusion globally, and making everyone a more informed investor. At Wisdomise AI, we know that this is a big vision and needs the support of the community of our users and ecosystem partners to achieve it. For more information, visit: <https://wisdomise.com/en](https://wisdomise.com/en) This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. DOVER, DE, USA, 10 May 2024 —ChainGPT, the AI-powered Web3 infrastructure providing a diverse suite of tools and services, announces the exclusive IDO launch of its latest launchpad project: Wisdom AI, an all-in-one AI-powered crypto advisor and investment assistant. With the support of ChainGPT Pad’s IDO launch pad, Wisdomise AI is set to launch its $WSDM token on May 13, advancing its vision of bringing AI-powered investment and wealth management services to a broad range of investors. As a premier decentralized fundraising and incubation platform for Web3 projects of all types, the ChainGPT Pad has been recognized as the most popular launchpad of 2023 . The incubation program promotes emerging startups strategically hand-picked by ChainGPT based on their disruptive potential, transforming their ideas into viable business solutions. ChainGPT Pad ChainGPT Pad most popular launchpad of 2023 most popular launchpad of 2023 The program extensively assists in product development, smart contract implementation, and user engagement. Through expert mentorship and access to an extensive network of influential partners and investors, the ChainGPT Pad’s incubation provides Web3 startups with the tools to navigate inevitable challenges and thrive. Wisdomise AI’s platform helps broaden financial prosperity with a multifaceted approach that enables investors to overcome the complexity and overload of information in the market. Its all-encompassing solution includes proprietary tools and data for active and passive crypto investors while also featuring a fully automated trading platform for passive income built and managed by Wisdomise Brain, the core AI system behind Wisdomise AI’s platform. With its novel scalable, multilayer AI architecture, Wisdomise Brain empowers investors by learning, predicting, and executing trades efficiently. By bridging knowledge gaps through curating and structuring intelligence, Wisdomise AI makes complex financial data accessible and understandable to even the most inexperienced digital asset investors. The platform also works to benefit all its users by pooling collective insights in what it calls the “wisdom crowds” principle. Wisdomise AI harnesses advanced AI and personalized financial chatbots to enable effective and profitable engagement with digital asset marketplaces. As a platform promoting equal access to investment information, its platform provides users with carefully curated insights and investment opportunities primarily in crypto, but with additional market expansions in the near future. Wisdomise AI’s IDO information: Token price: $.02 IDO date: May 13 Token ticker: $WSDM Allocation size: $400,000 Max supply: 1,000,000,000 Network: Polygon Initial Market Cap without liquidity: $404,000 Initial Market Cap with liquidity: $854,000 Circulating supply at TGE: 42,700,000 (equal to 4.27%) Fully Diluted Evaluation at TGE: $20,000,000 Vesting schedule: 15% at TGE, 1-month cliff, 6 months linear vesting Token price: $.02 IDO date: May 13 Token ticker: $WSDM Allocation size: $400,000 Max supply: 1,000,000,000 Network: Polygon Initial Market Cap without liquidity: $404,000 Initial Market Cap with liquidity: $854,000 Circulating supply at TGE: 42,700,000 (equal to 4.27%) Fully Diluted Evaluation at TGE: $20,000,000 Vesting schedule: 15% at TGE, 1-month cliff, 6 months linear vesting “With advanced AI algorithms and its focus on community and accessibility, Wisdomise AI empowers all digital asset investors to navigate crypto’s complex terrain wisely by making the most informed decisions,” says Ilan Rakhmanov, CEO and Founder of ChainGPT. “With advanced AI algorithms and its focus on community and accessibility, Wisdomise AI empowers all digital asset investors to navigate crypto’s complex terrain wisely by making the most informed decisions,” says Ilan Rakhmanov, CEO and Founder of ChainGPT. “We are excited about Wisdomise’s launch on our IDO platform and fully expect it to continue reaching its milestones. Wisdomise AI has a strong team, a growing community, a comprehensive roadmap, and most importantly, a clear vision indicating that it has all the tools necessary to transform how we interact with financial markets.” “We are excited about Wisdomise’s launch on our IDO platform and fully expect it to continue reaching its milestones. Wisdomise AI has a strong team, a growing community, a comprehensive roadmap, and most importantly, a clear vision indicating that it has all the tools necessary to transform how we interact with financial markets.” “Access to today’s structured monetary products and passive investment opportunities, both in crypto and TradFi, remains highly exclusive—but our platform tears down these barriers by enabling efficient digital asset investment and wealth management,” says Fardad Zand, CEO and Co-Founder of Wisdomise AI. “Access to today’s structured monetary products and passive investment opportunities, both in crypto and TradFi, remains highly exclusive—but our platform tears down these barriers by enabling efficient digital asset investment and wealth management,” says Fardad Zand, CEO and Co-Founder of Wisdomise AI. “Our platform leverages AI to empower all Web3 users to invest, trade, and manage their digital assets in an efficient and user-friendly manner, and our IDO will underpin all future efforts. As we approach our token launch, we are grateful for the support and guidance ChainGPT provided us.” “Our platform leverages AI to empower all Web3 users to invest, trade, and manage their digital assets in an efficient and user-friendly manner, and our IDO will underpin all future efforts. As we approach our token launch, we are grateful for the support and guidance ChainGPT provided us.” About ChainGPT: ChainGPT is the leading provider of AI-powered infrastructure for crypto, blockchain, and Web3. From a next-generation IDO launchpad and incubator to automated smart contract generation and auditing, as well as an advanced Web3 AI chatbot to AI-powered news aggregation, an AI training assistant, cross-chain swap, and an NFT generator, ChainGPT is a sophisticated, end-to-end solution for AI Web3 infrastructure. By integrating large language models (LLM) with blockchain, the company builds advanced, accessible, and user-friendly tools for all users. Further solidifying its position at the forefront of technological innovation, ChainGPT has established strategic partnerships and received recognition from notable tech leaders such as Google, Nvidia, BNBChain, and Chainlink. ChainGPT aims to advance the use of AI within the blockchain space. For more information, visit: <https://www.chaingpt.org/](https://www.chaingpt.org/) <https://www.chaingpt.org/](https://www.chaingpt.org/) About Wisdomise AI: Wisdomise AI is an all-in-one, AI-powered platform offering users curated intelligence and exposure to investment opportunities in digital assets (to begin with) and later other financial markets. Achieving this goal will be one step ahead to “democratizing wealth creation,” improving financial inclusion globally, and making everyone a more informed investor. At Wisdomise AI, we know that this is a big vision and needs the support of the community of our users and ecosystem partners to achieve it. For more information, visit: <https://wisdomise.com/en](https://wisdomise.com/en) <https://wisdomise.com/en](https://wisdomise.com/en) This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

ChainGPT Pad Launches Wisdomise AI IDO To Bring Inclusive,AI-powered Wealth Management Tools To Web3

In the fast-paced world of cryptocurrencies, timely and accurate data is not just valuable—it's crucial. For traders, developers, and crypto enthusiasts, CoinGecko's API has emerged as an indispensable tool, offering a comprehensive suite of data points from live prices to historical data and NFT market insights. Here's why CoinGecko’s API is a leader in this space and how you can leverage its capabilities in your projects. The Value of Cryptocurrency Data APIs Cryptocurrency Data APIs like CoinGecko provide essential data that helps in making informed trading decisions, developing applications, and conducting market analysis. They serve as the backbone for various crypto-related applications, enhancing functionality by providing real-time access to price movements, market capitalization, trading volumes, and much more. Why CoinGecko API? Comprehensive Data Coverage: CoinGecko tracks over 2 million tokens across 100+ blockchain networks and 1,000+ exchanges, ensuring that you have all the data you need at your fingertips.
Reliability and Uptime: With a proven track record since 2014 and a 99.9% uptime, CoinGecko ensures that your applications run smoothly with continuous data flow.
Ease of Use: The API is designed to be user-friendly, catering to both novice developers and seasoned professionals with well-documented endpoints and straightforward integration processes. Real-World Use Cases 1. Market Analysis Tools
Developers can integrate CoinGecko API into market analysis tools to provide users with real-time and historical market data. This helps traders identify trends, evaluate market conditions, and make more informed decisions. Example: A developer creates a web application that displays the top 10 cryptocurrencies by market cap with their price changes and trading volume over the past 24 hours. 2. Portfolio Management Applications
Portfolio management apps can use CoinGecko API to track the current value of holdings in various cryptocurrencies, updating portfolio values in real-time based on the latest market prices. Example: An app pulls in data from CoinGecko to update the user’s investment in Bitcoin, Ethereum, and other altcoins, providing notifications if certain assets exceed or drop below predefined thresholds. 3. Educational Platforms
Educational platforms that teach cryptocurrency trading can use the API to show live market data to students, helping them understand market dynamics as they learn. Example: A trading course website uses real-time data from CoinGecko to illustrate how sudden news events impact cryptocurrency prices. Tutorial: Building a Simple Crypto Price Tracker Using CoinGecko API Step 1: Setting Up
Begin by registering on the CoinGecko website to access the API keys. Once you have your key, set up a basic project environment in your preferred coding language. Step 2: Fetching Data
Using the /simple/price endpoint, you can fetch real-time price data. Here’s a quick snippet in Python: import requests

url = "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd"
response = requests.get(url)
price = response.json()['bitcoin']['usd']
print(f"Current Bitcoin Price: USD {price}") Step 3: Expanding Functionality
Expand your tracker by adding more cryptocurrencies and additional data points like trading volume or market cap by adjusting the API requests. CoinGecko’s API is more than just a tool—it's a gateway to understanding and interacting with the entire cryptocurrency market. Whether you’re building the next great crypto application or simply enhancing your trading strategy, CoinGecko provides the reliable, comprehensive data you need to succeed. Start exploring today and see how CoinGecko API can transform your approach to the crypto universe! In the fast-paced world of cryptocurrencies, timely and accurate data is not just valuable—it's crucial. For traders, developers, and crypto enthusiasts, CoinGecko's API has emerged as an indispensable tool, offering a comprehensive suite of data points from live prices to historical data and NFT market insights. Here's why CoinGecko’s API is a leader in this space and how you can leverage its capabilities in your projects. CoinGecko’s API The Value of Cryptocurrency Data APIs Cryptocurrency Data APIs like CoinGecko provide essential data that helps in making informed trading decisions, developing applications, and conducting market analysis. They serve as the backbone for various crypto-related applications, enhancing functionality by providing real-time access to price movements, market capitalization, trading volumes, and much more. CoinGecko Why CoinGecko API? Comprehensive Data Coverage: CoinGecko tracks over 2 million tokens across 100+ blockchain networks and 1,000+ exchanges, ensuring that you have all the data you need at your fingertips. Reliability and Uptime: With a proven track record since 2014 and a 99.9% uptime, CoinGecko ensures that your applications run smoothly with continuous data flow. Ease of Use: The API is designed to be user-friendly, catering to both novice developers and seasoned professionals with well-documented endpoints and straightforward integration processes. Comprehensive Data Coverage : CoinGecko tracks over 2 million tokens across 100+ blockchain networks and 1,000+ exchanges, ensuring that you have all the data you need at your fingertips. Comprehensive Data Coverage Reliability and Uptime : With a proven track record since 2014 and a 99.9% uptime, CoinGecko ensures that your applications run smoothly with continuous data flow. Reliability and Uptime Ease of Use : The API is designed to be user-friendly, catering to both novice developers and seasoned professionals with well-documented endpoints and straightforward integration processes. Ease of Use Real-World Use Cases 1. Market Analysis Tools Developers can integrate CoinGecko API into market analysis tools to provide users with real-time and historical market data. This helps traders identify trends, evaluate market conditions, and make more informed decisions. 1. Market Analysis Tools Example : A developer creates a web application that displays the top 10 cryptocurrencies by market cap with their price changes and trading volume over the past 24 hours. Example 2. Portfolio Management Applications Portfolio management apps can use CoinGecko API to track the current value of holdings in various cryptocurrencies, updating portfolio values in real-time based on the latest market prices. 2. Portfolio Management Applications Example : An app pulls in data from CoinGecko to update the user’s investment in Bitcoin, Ethereum, and other altcoins, providing notifications if certain assets exceed or drop below predefined thresholds. Example 3. Educational Platforms Educational platforms that teach cryptocurrency trading can use the API to show live market data to students, helping them understand market dynamics as they learn. 3. Educational Platforms Example : A trading course website uses real-time data from CoinGecko to illustrate how sudden news events impact cryptocurrency prices. Example Tutorial: Building a Simple Crypto Price Tracker Using CoinGecko API Step 1: Setting Up Begin by registering on the CoinGecko website to access the API keys. Once you have your key, set up a basic project environment in your preferred coding language. Step 1: Setting Up Step 2: Fetching Data Using the /simple/price endpoint, you can fetch real-time price data. Here’s a quick snippet in Python: Step 2: Fetching Data /simple/price import requests

url = "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd"
response = requests.get(url)
price = response.json()['bitcoin']['usd']
print(f"Current Bitcoin Price: USD {price}") import requests

url = "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd"
response = requests.get(url)
price = response.json()['bitcoin']['usd']
print(f"Current Bitcoin Price: USD {price}") Step 3: Expanding Functionality Expand your tracker by adding more cryptocurrencies and additional data points like trading volume or market cap by adjusting the API requests. Step 3: Expanding Functionality CoinGecko’s API is more than just a tool—it's a gateway to understanding and interacting with the entire cryptocurrency market. Whether you’re building the next great crypto application or simply enhancing your trading strategy, CoinGecko provides the reliable, comprehensive data you need to succeed. Start exploring today and see how CoinGecko API can transform your approach to the crypto universe!

Unlocking the Power of Crypto Markets with CoinGecko API

Artisanal Power: How to Avert a Threatened Mass Casualty Event

By Karim Chaib, founder of Web3Intelligence and Dopamine I’m excited to share with you the transformative potential of our Weekly Predictions tool in the realm of cryptocurrency investment. In the dynamic world of DeFi, understanding the market and each coin is not just important; it’s essential. The space is constantly evolving and fluctuating at a rapid pace. Individuals who are not crypto-native often feel the barrier to entry in a space that many have deemed speculative and unpredictable. A recent survey shows that even with the many inroads in the decentralized finance and cryptocurrency space, a significant amount of users are still unsatisfied with the convenience of application use and access to one’s wallet. At my firm, we are striving to break down these barriers by building extremely powerful, one-stop platforms for users to learn, invest, and track the performance of cryptocurrency in real time. One of our innovative projects is Dopamine, and our Weekly Predictions tool is bringing investment in cryptocurrency up-to-speed, arguably surpassing today’s traditional finance (tradfi) banking sector. At its core, Weekly Predictions is a tool that analyzes vast amounts of data - both readily available and proprietary. By combining blockchain analytics with social sentiment analysis, Predictions offers a holistic view of the market landscape, providing the user with accurate and actionable information. In a 2024 survey, 75% of respondents who own crypto use it as an investment tool and do not “own crypto to make secure payments, to buy NFTs, or because they think it will replace currencies.” Considering this overwhelming investment-centric attitude, the people who are bearish around crypto have been avoiding the space because of the lack of regulation and security and/or the feeling of not knowing how to buy it and what to do with it. Dopamine and its regulation and date-heavy framework create an environment where users can feel comfortable enough to educate themselves and feel confident in the process of buying, owning, and investing. We gather data from transaction volumes, historical price movements, and on-chain activities of various cryptocurrencies. This data is then combined with AI modeling that takes into account internal user interactions, external web3 engagement, and data from external web2 social platforms. This creates a truly comprehensive view of the market sentiment and landscape. This multipoint data-driven approach allows users to make more informed decisions about when to buy, sell, or hold their crypto assets. You may think it is akin to having your own personal quant in an app, and you would be wrong; the Predictions are designed to approach the crypto market while wearing the hat of a traditional financial advisor. While the Weekly Predictions report and content only refresh weekly, the platform keeps up with real-time changes and movement, similar to any tradfi day trader. However, unlike these tradfi platforms, Dopamine is pulling back the curtain on users’ assets through the ease of use and readability of the platform, simplifying it for even the most novice users. We’re also highly dedicated to educating our users and enthusiasts about the most important concepts in trading crypto. Our interface has been streamlined and simplified to create a pleasurable and intuitive user experience that encourages experimentation and exploration. However, while fun and exploration are vital aspects of the platform, Dopamine–and $DOPE, the token used to unlock the Weekly Predictions feature–seek to avoid the actual gamification and pump-and-dump ethos that has come to burden the crypto community. Each report highlights a selection of coins for the week that have measurable data for users to engage with. Unlike generalized crypto news reports, the content offers discussion around each coin, with associative analysis that is tailored to current holdings in one’s wallet. In summary, the Weekly Predictions tool is a testament to the potential of data-driven insights in the crypto market, empowering retail investors to make informed decisions with democratized access to crypto trading, and it ultimately contributes to the growth and maturity of the crypto market overall. Whether you’re a seasoned trader or a newcomer to crypto, the tool is a valuable asset in your trading kit. Through leveraging the power of blockchain data, advanced algorithms, and AI, we’re able to provide users with key insights into market trends and sentiment, helping them make more informed investment decisions and ultimately making the engagement with cryptocurrency more intuitive, enjoyable, and safe. About Karim Chaib Karim Chaib, founder of Web3intelligence.com and the architect behind the groundbreaking super app Dopamine, is a serial entrepreneur and a pivotal figure in shaping ETF and digital asset infrastructure components of major banks such as UBS, BBVA, Sygnum, and world leader core banking system Avaloq. His expertise extends to pioneering the integration of open banking and artificial intelligence technologies in collaboration with IBM. Under Karim's leadership, Web3intelligence.com has emerged as a premier web3 platform, offering an intuitive app that not only caters to everyday consumers but also engages children through gamified learning of seed phrases. The platform also powers Dopamine.tv, and their innovative $DOPE token serves as a licensing model, setting a global standard in AML and driving web3 innovation across various businesses. Karim's notable contributions include leading teams of world-renowned cryptographers, such as Gennaro, Goldfeder, Paillier, Goubin, and DEFI guru Andre Cronje, further cementing his status as a visionary in the field. About Dopamine The ultimate crypto wealth management tool, blending AI and compliance infrastructure with superApp capabilities, was deployed primarily on Solana before expanding to a multichain ecosystem. Dopamine gives you the power to manage all your wallets and all your centralized and decentralized exchanges with the latest AI and compliance advancement. You can connect your banks and participate in launchpads, RWA, and much more. Dopamine token is license token for the app but also for banks and exchanges to access all the API and source code that is built by web3intelligence.com By Karim Chaib, founder of Web3Intelligence and Dopamine By Karim Chaib, founder of Web3Intelligence and Dopamine Web3Intelligence Web3Intelligence Dopamine Dopamine I’m excited to share with you the transformative potential of our Weekly Predictions tool in the realm of cryptocurrency investment. In the dynamic world of DeFi, understanding the market and each coin is not just important; it’s essential. The space is constantly evolving and fluctuating at a rapid pace. Individuals who are not crypto-native often feel the barrier to entry in a space that many have deemed speculative and unpredictable. A recent survey shows that even with the many inroads in the decentralized finance and cryptocurrency space, a significant amount of users are still unsatisfied with the convenience of application use and access to one’s wallet. At my firm, we are striving to break down these barriers by building extremely powerful, one-stop platforms for users to learn, invest, and track the performance of cryptocurrency in real time. One of our innovative projects is Dopamine, and our Weekly Predictions tool is bringing investment in cryptocurrency up-to-speed, arguably surpassing today’s traditional finance (tradfi) banking sector . barrier to entry barrier to entry recent survey recent survey traditional finance (tradfi) banking sector traditional finance (tradfi) banking sector At its core, Weekly Predictions is a tool that analyzes vast amounts of data - both readily available and proprietary. By combining blockchain analytics with social sentiment analysis, Predictions offers a holistic view of the market landscape, providing the user with accurate and actionable information. In a 2024 survey, 75% of respondents who own crypto use it as an investment tool and do not “own crypto to make secure payments, to buy NFTs, or because they think it will replace currencies.” Considering this overwhelming investment-centric attitude, the people who are bearish around crypto have been avoiding the space because of the lack of regulation and security and/or the feeling of not knowing how to buy it and what to do with it. Dopamine and its regulation and date-heavy framework create an environment where users can feel comfortable enough to educate themselves and feel confident in the process of buying, owning, and investing. 75% of respondents 75% of respondents We gather data from transaction volumes, historical price movements, and on-chain activities of various cryptocurrencies. This data is then combined with AI modeling that takes into account internal user interactions, external web3 engagement, and data from external web2 social platforms. This creates a truly comprehensive view of the market sentiment and landscape. This multipoint data-driven approach allows users to make more informed decisions about when to buy, sell, or hold their crypto assets. You may think it is akin to having your own personal quant in an app, and you would be wrong; the Predictions are designed to approach the crypto market while wearing the hat of a traditional financial advisor. While the Weekly Predictions report and content only refresh weekly, the platform keeps up with real-time changes and movement, similar to any tradfi day trader. However, unlike these tradfi platforms, Dopamine is pulling back the curtain on users’ assets through the ease of use and readability of the platform, simplifying it for even the most novice users. We’re also highly dedicated to educating our users and enthusiasts about the most important concepts in trading crypto. Our interface has been streamlined and simplified to create a pleasurable and intuitive user experience that encourages experimentation and exploration. However, while fun and exploration are vital aspects of the platform, Dopamine–and $DOPE, the token used to unlock the Weekly Predictions feature–seek to avoid the actual gamification and pump-and-dump ethos that has come to burden the crypto community. Each report highlights a selection of coins for the week that have measurable data for users to engage with. Unlike generalized crypto news reports, the content offers discussion around each coin, with associative analysis that is tailored to current holdings in one’s wallet. In summary, the Weekly Predictions tool is a testament to the potential of data-driven insights in the crypto market, empowering retail investors to make informed decisions with democratized access to crypto trading, and it ultimately contributes to the growth and maturity of the crypto market overall. Whether you’re a seasoned trader or a newcomer to crypto, the tool is a valuable asset in your trading kit. Through leveraging the power of blockchain data, advanced algorithms, and AI, we’re able to provide users with key insights into market trends and sentiment, helping them make more informed investment decisions and ultimately making the engagement with cryptocurrency more intuitive, enjoyable, and safe. About Karim Chaib About Karim Chaib About Karim Chaib Karim Chaib, founder of Web3intelligence.com and the architect behind the groundbreaking super app Dopamine, is a serial entrepreneur and a pivotal figure in shaping ETF and digital asset infrastructure components of major banks such as UBS, BBVA, Sygnum, and world leader core banking system Avaloq. His expertise extends to pioneering the integration of open banking and artificial intelligence technologies in collaboration with IBM. Under Karim's leadership, Web3intelligence.com has emerged as a premier web3 platform, offering an intuitive app that not only caters to everyday consumers but also engages children through gamified learning of seed phrases. The platform also powers Dopamine.tv , and their innovative $DOPE token serves as a licensing model, setting a global standard in AML and driving web3 innovation across various businesses. Karim's notable contributions include leading teams of world-renowned cryptographers, such as Gennaro, Goldfeder, Paillier, Goubin, and DEFI guru Andre Cronje, further cementing his status as a visionary in the field. Web3intelligence.com Web3intelligence.com Web3intelligence.com Web3intelligence.com Dopamine.tv Dopamine.tv About Dopamine About Dopamine About Dopamine The ultimate crypto wealth management tool, blending AI and compliance infrastructure with superApp capabilities, was deployed primarily on Solana before expanding to a multichain ecosystem. Dopamine gives you the power to manage all your wallets and all your centralized and decentralized exchanges with the latest AI and compliance advancement. You can connect your banks and participate in launchpads, RWA, and much more. Dopamine token is license token for the app but also for banks and exchanges to access all the API and source code that is built by web3intelligence.com

Unpacking the Power of Data-Driven Weekly Predictions in Web3

ওয়েব3-এ ডেটা-চালিত সাপ্তাহিক ভবিষ্যদ্বাণীর শক্তি আনপ্যাক করা

Die Leistungsfähigkeit datenbasierter wöchentlicher Vorhersagen in Web3 ausschöpfen

Analizando el poder de las predicciones semanales basadas en datos en Web3

Exploiter la puissance des prévisions hebdomadaires basées sur les données dans Web3

वेब3 में डेटा-संचालित साप्ताहिक भविष्यवाणियों की शक्ति का अन्वेषण

Web3 でのデータ駆動型週間予測の威力を解き明かす

Web3에서 데이터 기반 주간 예측의 힘을 풀어보세요

Desvendando o poder das previsões semanais baseadas em dados na Web3

Раскрытие возможностей еженедельных прогнозов на основе данных в Web3

Web3'te Veriye Dayalı Haftalık Tahminlerin Gücünü Ortaya Çıkarma

Giải mã sức mạnh của các dự đoán hàng tuần dựa trên dữ liệu trong Web3

揭秘 Web3 中数据驱动的每周预测的力量

Unlocking the Power of Advanced Data Types in Big Data

Delivering renewable energy solutions that are both efficient and environmentally conscious requires a deep understanding of engineering, project management, and global market dynamics. Leading professionals in this sector are tasked with not only advancing technology but also addressing the logistical and regulatory challenges of diverse terrains and markets worldwide. In this edition of the "Power Leader" series, we explore these themes with Ken Kozicki, Chief Marketing Officer, FTC Solar. Our discussion covers the intricacies of solar tracker systems, key engineering breakthroughs, and strategic decisions that have shaped the industry. This feature offers a nuanced perspective on how top companies are navigating the complex landscape of renewable energy, emphasizing both their successes and the challenges they face. FTC Solar has made significant strides in this direction, delivering over 4.5 GW of solar trackers globally and executing projects across varied landscapes from the United States to Southeast Asia and Australia. The company's deep-rooted experience in engineering and project development has positioned it as a key player in the renewable energy sector. What is FTC Solar's mission and how are your solar tracker systems influencing the renewable energy landscape? At FTC Solar, our mission is deeply rooted in enhancing the competitiveness and sustainability of solar technology. With over two decades of collective experience from our founding team in EPCs (engineering, procurement and construction), developers and asset owners, we've identified and addressed critical industry challenges. Our solutions—spanning differentiated solar trackers, sophisticated software, and comprehensive engineering services—are designed to minimize capital and operational expenses while optimizing energy output. Our global projects, from the United States to Southeast Asia, not only demonstrate our commitment to spreading clean energy but also highlight our role in reducing carbon footprints and aiding communities in their sustainable energy transitions. Can you delve into some of the key engineering innovations about the Voyager+? The Voyager+ stands out as a premier 2P tracker, especially suited for challenging terrains and diverse soil conditions. Its design prioritizes construction efficiency and rapid installation, setting industry benchmarks with significant cost savings on materials. The Voyager+’s engineering success stems from its ability to offer unparalleled design flexibility and operational reliability, leading to a superior return on investment for our clients. Key innovations include our Slide & Guide module installation mechanism, which simplifies the mounting process akin to hanging a picture. Moreover, the tracker reduces the need for piles by 46%, cuts labor costs, and decreases DC wiring by 35%, enhancing overall project efficiency. https://vimeo.com/572125375?embedable=true Under your leadership, FTC Solar has seen rapid expansion globally. What do you attribute this success to, and how do you maintain competitive edge in such a fast-evolving market? Our rapid global expansion can be attributed to two fundamental elements: our core values and our diverse international team. At FTC Solar, we uphold values of customer centricity, integrity, innovation, accountability, and excellence—principles that permeate every aspect of our operations and project delivery. Additionally, our global presence, with teams stationed across nine international locations, equips us with a unique perspective on the solar industry’s diverse challenges and opportunities. This broad outlook, free from regional biases, enables us to effectively tailor our strategies and solutions to meet varied market demands. FTC Solar places a strong emphasis on customer collaboration. Can you provide examples of how this approach has shaped product development and project execution at FTC Solar? Customer centricity is at the heart of everything we do at FTC Solar. Our product development process is deeply collaborative, rooted in a thorough understanding of our customers’ current and future challenges. By engaging closely with our clients, we gather valuable insights that inform our innovations and operational strategies. For instance, our hands-on approach includes joint on-site assembly of the first solar array row and comprehensive training programs, ensuring that every project adheres to best practices while fostering a smooth installation process. This proactive engagement not only enhances project outcomes but also strengthens our customer relationships, driving our collective success. What are some of the biggest challenges FTC Solar has faced in scaling up operations internationally, and how have you adapted your strategy to overcome them? One significant challenge in international markets has been advocating for the adoption of solar trackers over traditional fixed-tilt systems. We've addressed this through extensive customer education on the long-term value and reliability of our tracking solutions. Another major hurdle has been adapting our supply chain to align with local regulations and content requirements. For example, in markets like South Africa, we've expanded our supplier base to include local businesses, thereby not only complying with local mandates but also fostering community growth and development. How do you see FTC evolving to meet future workplace safety and productivity needs? At FTC Solar, safety is paramount—no aspect of our operations supersedes the health and well-being of our team. We are committed to continuous improvement of our safety protocols and procedures, ensuring that our work environment adheres to the highest standards of safety and health. Looking forward, we aim to integrate advanced safety technologies and refine our operational protocols to further enhance workplace safety and productivity. What are the next big trends or technologies in solar energy that you think will significantly impact the industry, and how is FTC Solar preparing to be at the forefront of these changes? Staying ahead of industry trends is crucial, and at FTC Solar, we pride ourselves on our forward-thinking approach. FTC’s zero-stow strategy has been core to our innovation driving lower costs for our customers, and which also, technically, reduces structural stress during high-wind events and prevents modules from microcracking damage. We are also focusing on designs that expedite installation and reduce costs, which is increasingly important due to rising labor shortages and costs. As a leader in the renewable energy sector, how does FTC Solar integrate sustainability and corporate responsibility into its business practices and product development? Sustainability is integral to our operations at FTC Solar. We adhere to strict environmental management systems aligned with ISO 14001 standards, aiming for continuous improvement in our sustainability practices. Our commitment extends beyond compliance to proactive environmental stewardship, which involves setting and achieving stringent environmental targets, conducting regular audits, and engaging our entire workforce in our sustainability initiatives. By fostering an environment of responsibility and awareness, we ensure that our business practices not only meet but exceed the expectations of our stakeholders and contribute positively. Delivering renewable energy solutions that are both efficient and environmentally conscious requires a deep understanding of engineering, project management, and global market dynamics. Leading professionals in this sector are tasked with not only advancing technology but also addressing the logistical and regulatory challenges of diverse terrains and markets worldwide. In this edition of the "Power Leader" series, we explore these themes with Ken Kozicki, Chief Marketing Officer, FTC Solar . Our discussion covers the intricacies of solar tracker systems, key engineering breakthroughs, and strategic decisions that have shaped the industry. This feature offers a nuanced perspective on how top companies are navigating the complex landscape of renewable energy, emphasizing both their successes and the challenges they face. FTC Solar FTC Solar has made significant strides in this direction, delivering over 4.5 GW of solar trackers globally and executing projects across varied landscapes from the United States to Southeast Asia and Australia. The company's deep-rooted experience in engineering and project development has positioned it as a key player in the renewable energy sector. What is FTC Solar's mission and how are your solar tracker systems influencing the renewable energy landscape? What is FTC Solar's mission and how are your solar tracker systems influencing the renewable energy landscape? At FTC Solar, our mission is deeply rooted in enhancing the competitiveness and sustainability of solar technology. With over two decades of collective experience from our founding team in EPCs (engineering, procurement and construction), developers and asset owners, we've identified and addressed critical industry challenges. Our solutions—spanning differentiated solar trackers, sophisticated software, and comprehensive engineering services—are designed to minimize capital and operational expenses while optimizing energy output. Our global projects, from the United States to Southeast Asia, not only demonstrate our commitment to spreading clean energy but also highlight our role in reducing carbon footprints and aiding communities in their sustainable energy transitions. Can you delve into some of the key engineering innovations about the Voyager+? Can you delve into some of the key engineering innovations about the Voyager+? The Voyager+ stands out as a premier 2P tracker, especially suited for challenging terrains and diverse soil conditions. Its design prioritizes construction efficiency and rapid installation, setting industry benchmarks with significant cost savings on materials. The Voyager+’s engineering success stems from its ability to offer unparalleled design flexibility and operational reliability, leading to a superior return on investment for our clients. Key innovations include our Slide & Guide module installation mechanism, which simplifies the mounting process akin to hanging a picture. Moreover, the tracker reduces the need for piles by 46%, cuts labor costs, and decreases DC wiring by 35%, enhancing overall project efficiency. https://vimeo.com/572125375?embedable=true https://vimeo.com/572125375?embedable=true Under your leadership, FTC Solar has seen rapid expansion globally. What do you attribute this success to, and how do you maintain competitive edge in such a fast-evolving market? Under your leadership, FTC Solar has seen rapid expansion globally. What do you attribute this success to, and how do you maintain competitive edge in such a fast-evolving market? Our rapid global expansion can be attributed to two fundamental elements: our core values and our diverse international team. At FTC Solar, we uphold values of customer centricity, integrity, innovation, accountability, and excellence—principles that permeate every aspect of our operations and project delivery. Additionally, our global presence, with teams stationed across nine international locations, equips us with a unique perspective on the solar industry’s diverse challenges and opportunities. This broad outlook, free from regional biases, enables us to effectively tailor our strategies and solutions to meet varied market demands. FTC Solar places a strong emphasis on customer collaboration. Can you provide examples of how this approach has shaped product development and project execution at FTC Solar? FTC Solar places a strong emphasis on customer collaboration. Can you provide examples of how this approach has shaped product development and project execution at FTC Solar? Customer centricity is at the heart of everything we do at FTC Solar. Our product development process is deeply collaborative, rooted in a thorough understanding of our customers’ current and future challenges. By engaging closely with our clients, we gather valuable insights that inform our innovations and operational strategies. For instance, our hands-on approach includes joint on-site assembly of the first solar array row and comprehensive training programs, ensuring that every project adheres to best practices while fostering a smooth installation process. This proactive engagement not only enhances project outcomes but also strengthens our customer relationships, driving our collective success. What are some of the biggest challenges FTC Solar has faced in scaling up operations internationally, and how have you adapted your strategy to overcome them? What are some of the biggest challenges FTC Solar has faced in scaling up operations internationally, and how have you adapted your strategy to overcome them? One significant challenge in international markets has been advocating for the adoption of solar trackers over traditional fixed-tilt systems. We've addressed this through extensive customer education on the long-term value and reliability of our tracking solutions. Another major hurdle has been adapting our supply chain to align with local regulations and content requirements. For example, in markets like South Africa, we've expanded our supplier base to include local businesses, thereby not only complying with local mandates but also fostering community growth and development. How do you see FTC evolving to meet future workplace safety and productivity needs? How do you see FTC evolving to meet future workplace safety and productivity needs? At FTC Solar, safety is paramount—no aspect of our operations supersedes the health and well-being of our team. We are committed to continuous improvement of our safety protocols and procedures, ensuring that our work environment adheres to the highest standards of safety and health. Looking forward, we aim to integrate advanced safety technologies and refine our operational protocols to further enhance workplace safety and productivity. What are the next big trends or technologies in solar energy that you think will significantly impact the industry, and how is FTC Solar preparing to be at the forefront of these changes? What are the next big trends or technologies in solar energy that you think will significantly impact the industry, and how is FTC Solar preparing to be at the forefront of these changes? Staying ahead of industry trends is crucial, and at FTC Solar, we pride ourselves on our forward-thinking approach. FTC’s zero-stow strategy has been core to our innovation driving lower costs for our customers, and which also, technically, reduces structural stress during high-wind events and prevents modules from microcracking damage. We are also focusing on designs that expedite installation and reduce costs, which is increasingly important due to rising labor shortages and costs. As a leader in the renewable energy sector, how does FTC Solar integrate sustainability and corporate responsibility into its business practices and product development? As a leader in the renewable energy sector, how does FTC Solar integrate sustainability and corporate responsibility into its business practices and product development? Sustainability is integral to our operations at FTC Solar. We adhere to strict environmental management systems aligned with ISO 14001 standards, aiming for continuous improvement in our sustainability practices. Our commitment extends beyond compliance to proactive environmental stewardship, which involves setting and achieving stringent environmental targets, conducting regular audits, and engaging our entire workforce in our sustainability initiatives. By fostering an environment of responsibility and awareness, we ensure that our business practices not only meet but exceed the expectations of our stakeholders and contribute positively.

POWER LEADER: The Future of Solar with Ken Kozicki of FTC Solar

How to Power up your Digital Marketing with Deep Learning Predictions

গভীর শিক্ষার পূর্বাভাস দিয়ে কীভাবে আপনার ডিজিটাল মার্কেটিংকে শক্তিশালী করবেন

So steigern Sie Ihr digitales Marketing mit Deep Learning-Prognosen

Cómo potenciar su marketing digital con predicciones de aprendizaje profundo

Comment dynamiser votre marketing numérique avec les prédictions du Deep Learning

डीप लर्निंग भविष्यवाणियों के साथ अपने डिजिटल मार्केटिंग को कैसे सशक्त बनाएं

ディープラーニング予測でデジタルマーケティングを強化する方法

딥 러닝 예측으로 디지털 마케팅을 강화하는 방법

Como potencializar seu marketing digital com previsões de aprendizado profundo

Как усилить свой цифровой маркетинг с помощью прогнозов глубокого обучения

Derin Öğrenme Tahminleriyle Dijital Pazarlamanızı Nasıl Güçlendirebilirsiniz?

Cách tăng cường hoạt động tiếp thị kỹ thuật số của bạn với dự đoán học sâu

如何利用深度学习预测增强你的数字营销

The Power of Campaign Management in Driving Business Objectives and Checkout Success

AI-Powered Localization Using an Open-source Project as a Case Study

Many people, including me, find ourselves overwhelmed by the complexity of modern tools and the sheer volume of information they handle daily. It's common to struggle with "powerful" tools that are highly recommended but end up being too complex to use effectively Why is it so hard to use these tools? Many tools are designed to be feature-rich, operating under the assumption that more features mean more value. However, this often leads to feature overload, leaving users feeling overwhelmed. Furthermore, these tools typically start with a blank page, which can be daunting because it’s unclear where to begin. They often require a steep learning curve, ongoing maintenance, and significant mental effort. For individuals with neurodiversity like ADHD, these challenges can be even more pronounced, making it difficult to use the tool’s full capabilities. What's the solution? The answer might be simpler than you think: choose tools that are . Think of these tools as the of productivity—compact yet effective. simple yet powerful Swiss Army knife Opting for minimalism doesn’t mean you have to sacrifice functionality. A well-designed minimalist tool can offer the power and versatility needed to handle a variety of tasks without the clutter. Here are some benefits of using those tools: : Minimalist tools are easy to understand and use right from the start, which means you don’t have to spend hours learning how to navigate complex software. Reduce Cognitive Load : These tools help you accomplish your tasks faster by focusing on essential features, without unnecessary extras. Efficiency : By eliminating distractions, these tools help you concentrate on what’s truly important. Enhance Focus : With less mental clutter, you can free up space for innovative thinking and effective problem-solving. Boost Creativity 3. What are some examples of these Simple yet Powerful tools? Not all minimalist tools are the same; some might be too basic, lacking the features you need. Finding the right tool often involves some trial and error. Here are a few that I’ve found to be helpful: : A straightforward to-do list app that helps you manage tasks simply and effectively. Todoist : A note-taking tool that is easy to use yet powerful, enhanced with AI capabilities to boost productivity. Saner.ai : An intuitive tool for scheduling meetings that simplifies finding mutual availability without back-and-forth emails. Calendly One Sec: An app designed to limit mobile phone use by requiring a specific action before accessing the app you want to block, helping to reduce distractions. In conclusion, if you’re feeling overwhelmed by complex productivity tools, consider switching to minimalist tools that offer simplicity without sacrificing functionality. This approach can help you work more efficiently, focus better, and enhance your creativity.

Overcome the Overwhelm with 4 Simple Yet Powerful Productivity Tools

The Power of Community in Memecoin Success

Virtual Meetings have become an essential part of corporate collaboration, serving as the de facto way that ideas are exchanged, decisions are made, and strategies are devised. However, the true value of meetings is often diluted by their length and the complexity of the discussions. This is why note-taking and effective summaries and action points are so important. Converting long and often pointless discussions into short (actionable) summaries, meeting attendees can quickly catch up on meetings they missed, review decisions that were made, and understand discussions without having to sift through hours and hours of recordings. We thought it would be cool to create our summarizer. If you don't have one already, keep reading. This technical tutorial will guide you through creating a simple web application that summarizes daily meeting Transcripts using ApyHub’s AI Summarize Document API using NodeJS. Pre-requisites: Access to Google Meet and permission to access meeting transcripts.
A preferred programming language environment (e.g., Python).
ApyHub Account.
GitHub CLI is installed on your computer. Step 1: Clone the GitHub repository Open your terminal and run this command: git clone https://github.com/iamspathan/AI-Transcript-Summarizer.git This command will clone the project in your local environment. Once the project is cloned, you can open the repository in the code editor. Step 2. Install Required Packages: Here, in Node Package Manager (npm), we will install all the dependencies that our application needs to summarize the meeting transcribe. npm install Step 3: Add your API Key to the index.js file. Here, we will add our Secret API key from ApyHub. To generate an API key, you can visit the documentation page of AI Summarize Document API. Your secret looks like this ➡️
apy-token: APY****************************************** Copy this token and paste it in as shown in the code comment below. const express = require('express');
const fileUpload = require('express-fileupload');
const cors = require('cors');
const axios = require('axios');
const FormData = require('form-data');
const open = require('open');
const app = express();
const port = 3000;

app.use(cors());
app.use(fileUpload());

// Serve static files from the 'public' directory
app.use(express.static('public'));

app.post('/summarize', (req, res) => {
    console.log("summarixe called", req.files.file);
    if (!req.files || Object.keys(req.files).length === 0) {
        return res.status(400).send('No files were uploaded.');
    }

    // Assuming the file is attached to the request under the key 'file'
    const file = req.files.file;

    // Prepare the file to be sent using form-data
    const formData = new FormData();
    formData.append('file', file.data, file.name);

    // Set up the request headers, including the dynamic headers from form-data and the secret-apy token.
    const requestHeaders = {
        ...formData.getHeaders(),
        'apy-token': 'ADD YOUR OWN APY-TOKEN HERE'
    };

    // Call the AI Summarize API
    axios.post('https://api.apyhub.com/ai/summarize-documents/file', formData, { headers: requestHeaders })
        .then(apiResponse => {
            // Assuming the API returns JSON with a summary field
            console.log(apiResponse.data.data.summary);
            res.send({ summary: apiResponse.data.data.summary });
        })
        .catch(error => {
            console.error('Error calling the AI Summarize API:', error);
            res.status(500).send('Failed to summarize the document.');
        });
});

app.listen(port, () => {
    console.log(`Server running at http://localhost:${port}`);
    // Open the index.html file in the default browser
    open(`http://localhost:${port}`);
}); Once you’ve added the API key. Save the changes using the Ctrl+S Key. Step 4: Running Your Application Once you’ve added the API key. Save the changes using Ctrl+S in your terminal, and run this command.: node index.js That’s it :) As you can see, Now you can generate a meeting transcript anytime you want :) Virtual Meetings have become an essential part of corporate collaboration, serving as the de facto way that ideas are exchanged, decisions are made, and strategies are devised. However, the true value of meetings is often diluted by their length and the complexity of the discussions. This is why note-taking and effective summaries and action points are so important. Converting long and often pointless discussions into short (actionable) summaries, meeting attendees can quickly catch up on meetings they missed, review decisions that were made, and understand discussions without having to sift through hours and hours of recordings. We thought it would be cool to create our summarizer. If you don't have one already, keep reading. This technical tutorial will guide you through creating a simple web application that summarizes daily meeting Transcripts using ApyHub’s AI Summarize Document API using NodeJS. ApyHub’s AI Summarize Document API Pre-requisites: Access to Google Meet and permission to access meeting transcripts. A preferred programming language environment (e.g., Python). ApyHub Account. GitHub CLI is installed on your computer. Access to Google Meet and permission to access meeting transcripts. Google Meet A preferred programming language environment (e.g., Python). ApyHub Account . ApyHub Account GitHub CLI is installed on your computer. Step 1: Clone the GitHub repository Open your terminal and run this command: git clone https://github.com/iamspathan/AI-Transcript-Summarizer.git git clone https://github.com/iamspathan/AI-Transcript-Summarizer.git This command will clone the project in your local environment. Once the project is cloned, you can open the repository in the code editor. Step 2. Install Required Packages: Here, in Node Package Manager (npm), we will install all the dependencies that our application needs to summarize the meeting transcribe. npm install npm install Step 3: Add your API Key to the index.js file. Here, we will add our Secret API key from ApyHub. To generate an API key, you can visit the documentation page of AI Summarize Document API . Your secret looks like this ➡️ apy-token: APY****************************************** AI Summarize Document API apy-token: APY****************************************** Copy this token and paste it in as shown in the code comment below. const express = require('express');
const fileUpload = require('express-fileupload');
const cors = require('cors');
const axios = require('axios');
const FormData = require('form-data');
const open = require('open');
const app = express();
const port = 3000;

app.use(cors());
app.use(fileUpload());

// Serve static files from the 'public' directory
app.use(express.static('public'));

app.post('/summarize', (req, res) => {
    console.log("summarixe called", req.files.file);
    if (!req.files || Object.keys(req.files).length === 0) {
        return res.status(400).send('No files were uploaded.');
    }

    // Assuming the file is attached to the request under the key 'file'
    const file = req.files.file;

    // Prepare the file to be sent using form-data
    const formData = new FormData();
    formData.append('file', file.data, file.name);

    // Set up the request headers, including the dynamic headers from form-data and the secret-apy token.
    const requestHeaders = {
        ...formData.getHeaders(),
        'apy-token': 'ADD YOUR OWN APY-TOKEN HERE'
    };

    // Call the AI Summarize API
    axios.post('https://api.apyhub.com/ai/summarize-documents/file', formData, { headers: requestHeaders })
        .then(apiResponse => {
            // Assuming the API returns JSON with a summary field
            console.log(apiResponse.data.data.summary);
            res.send({ summary: apiResponse.data.data.summary });
        })
        .catch(error => {
            console.error('Error calling the AI Summarize API:', error);
            res.status(500).send('Failed to summarize the document.');
        });
});

app.listen(port, () => {
    console.log(`Server running at http://localhost:${port}`);
    // Open the index.html file in the default browser
    open(`http://localhost:${port}`);
}); const express = require('express');
const fileUpload = require('express-fileupload');
const cors = require('cors');
const axios = require('axios');
const FormData = require('form-data');
const open = require('open');
const app = express();
const port = 3000;

app.use(cors());
app.use(fileUpload());

// Serve static files from the 'public' directory
app.use(express.static('public'));

app.post('/summarize', (req, res) => {
    console.log("summarixe called", req.files.file);
    if (!req.files || Object.keys(req.files).length === 0) {
        return res.status(400).send('No files were uploaded.');
    }

    // Assuming the file is attached to the request under the key 'file'
    const file = req.files.file;

    // Prepare the file to be sent using form-data
    const formData = new FormData();
    formData.append('file', file.data, file.name);

    // Set up the request headers, including the dynamic headers from form-data and the secret-apy token.
    const requestHeaders = {
        ...formData.getHeaders(),
        'apy-token': 'ADD YOUR OWN APY-TOKEN HERE'
    };

    // Call the AI Summarize API
    axios.post('https://api.apyhub.com/ai/summarize-documents/file', formData, { headers: requestHeaders })
        .then(apiResponse => {
            // Assuming the API returns JSON with a summary field
            console.log(apiResponse.data.data.summary);
            res.send({ summary: apiResponse.data.data.summary });
        })
        .catch(error => {
            console.error('Error calling the AI Summarize API:', error);
            res.status(500).send('Failed to summarize the document.');
        });
});

app.listen(port, () => {
    console.log(`Server running at http://localhost:${port}`);
    // Open the index.html file in the default browser
    open(`http://localhost:${port}`);
}); Once you’ve added the API key. Save the changes using the Ctrl+S Key. Ctrl+S Step 4: Running Your Application Once you’ve added the API key. Save the changes using Ctrl+S in your terminal, and run this command.: node index.js node index.js That’s it :) As you can see, Now you can generate a meeting transcript anytime you want :)

Building an AI-Powered Summarizer using NodeJS and ApyHub API To Make Meetings Easy

DUBAI, United Arab Emirates, April 24th, 2024/Chainwire/--“Yoki Origins”, supported by Bandit Network and Brave Ads, introduces a gamified and rewarding experience for Astar zkEVM users, marking a significant milestone in Web3 adoption. Bandit Network, a leading provider of White-Labelled Quest solutions with Points SDK, proudly announces its collaboration with Astar Network to power the ongoing “Yoki Origins'' journey. Launched on March 8th, this innovative user onboarding journey coincides with the mainnet release of Astar zkEVM, a Layer 2 scaling solution for Ethereum. This collaboration represents a significant milestone in the evolution of Web3 infrastructure. Astar zkEVM, leveraging Ethereum's security and the Polygon CDK (Chain Development Kit), offers a secure and scalable platform for Web3 projects and enterprises. As the inaugural zero-knowledge EVM chain, Astar zkEVM unlocks access to Ethereum's extensive developer resources and industry-standard infrastructure providers. The "Yoki Origins'' journey, powered by Bandit Network's White-Labelled Quest solutions with Points SDK promoted by Brave Ads, introduces users to the world of Astar zkEVM through interactive experiences inspired by Japanese Yokais. Participants engage with Capsule Machines, or "Yo-Ports," to collect Yokis and artistic creations, fostering engagement and loyalty within the Astar ecosystem. "Bandit Network is thrilled to collaborate with Astar Network on the 'Yoki Origins' journey," said Sandesh B Suvarna, Founder of Bandit Network. "Our White-Labelled Quest solutions with Points SDK, along with promotion through Brave, provide a seamless and engaging experience for users, allowing them to immerse themselves in the Astar ecosystem while celebrating Japanese culture and heritage." Maarten Henskens, Head of Astar Network, commented, "Bandit Network's platform with Brave Ads has been instrumental in bringing the 'Yoki Origins' journey to life. This collaboration underscores our commitment to delivering innovative and engaging experiences to our community as we continue to expand the capabilities of Astar zkEVM." ** ** Luke Mulks, VP of Business Operations at Brave, highlights the integral role of Bandit Network's solutions in partnership with Brave Ads, "We’re excited for Brave Ads to be collaborating with Bandit Network's White-Labelled Quest solutions to bring awareness and growth for the Astar ecosystem. With collaborations like 'Yoki Origins', Brave Ads demonstrates the ability to use Quests as a growth accelerator. Brave Ads campaigns will elevate Quests beyond airdrop farmers, introducing Quests to millions of Brave Rewards users. In addition to earning BAT with their attention, Brave Rewards users will now be able to earn even more by participating in Quests through Astar and other participating Bandit Network partners advertising with Brave Ads." Brave offers Web3 promotional opportunities through Brave Ads for advertisers that pay with BAT for their campaigns, facilitating growth and adoption within the broader Web3 ecosystem. ** ** The "Yoki Origins" journey invites users to explore Astar zkEVM’s unique characters, participate in quests, and collect digital collectibles. Through interactive Capsule Machines, participants can obtain Yokis and artistic creations contributed by various artists, enterprises, and builders. The user journey aims to foster accessibility for individuals unfamiliar with Web3, incorporating social logins and credit card payments. Astar Network serves as a conduit for projects spanning enterprise, entertainment, and gaming to enter the Japanese market and beyond. By propelling global adoption of Web3, Astar aims to build an ecosystem fueled by both Polkadot and Polygon, positioning itself as a leading blockchain for the Japanese market. For more information about Bandit Network and the "Yoki Origins" journey, visit https://yoki.astar.network/en. About Bandit Network: Bandit Network is a leading provider of White-Labelled Quest solutions with Points SDK, offering a no-code platform for engaging and interactive experiences. With a focus on fostering user engagement and loyalty, Bandit Network empowers organisations to create immersive campaigns and events across various industries. Media Contact: Name: Sandesh B Suvarna Designation: Founder Company: Bandit Network Email: sandesh@bandit.network LinkedIn: https://www.linkedin.com/in/sandeshbsuvarna/ Twitter: https://twitter.com/sandeshsuvarna Telegram: https://t.me/SandeshBSuvarna Name: Luke Mulks Designation: VP - Business Operations Company: Brave Email: press@brave.com Twitter: https://twitter.com/lukemulks Twitter: https://twitter.com/brave Advertisers: https://ads.brave.com/ This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. DUBAI, United Arab Emirates, April 24th, 2024/Chainwire/-- “Yoki Origins”, supported by Bandit Network and Brave Ads , introduces a gamified and rewarding experience for Astar zkEVM users, marking a significant milestone in Web3 adoption. DUBAI, United Arab Emirates, April 24th, 2024/Chainwire/-- Bandit Network Bandit Network Brave Ads Brave Ads Bandit Network , a leading provider of White-Labelled Quest solutions with Points SDK, proudly announces its collaboration with Astar Network to power the ongoing “Yoki Origins'' journey. Launched on March 8th, this innovative user onboarding journey coincides with the mainnet release of Astar zkEVM, a Layer 2 scaling solution for Ethereum. This collaboration represents a significant milestone in the evolution of Web3 infrastructure. Bandit Network Bandit Network Astar zkEVM, leveraging Ethereum's security and the Polygon CDK (Chain Development Kit), offers a secure and scalable platform for Web3 projects and enterprises. As the inaugural zero-knowledge EVM chain, Astar zkEVM unlocks access to Ethereum's extensive developer resources and industry-standard infrastructure providers. The "Yoki Origins'' journey, powered by Bandit Network's White-Labelled Quest solutions with Points SDK promoted by Brave Ads, introduces users to the world of Astar zkEVM through interactive experiences inspired by Japanese Yokais. Participants engage with Capsule Machines, or "Yo-Ports," to collect Yokis and artistic creations, fostering engagement and loyalty within the Astar ecosystem. "Bandit Network is thrilled to collaborate with Astar Network on the 'Yoki Origins' journey," said Sandesh B Suvarna, Founder of Bandit Network. "Our White-Labelled Quest solutions with Points SDK, along with promotion through Brave, provide a seamless and engaging experience for users, allowing them to immerse themselves in the Astar ecosystem while celebrating Japanese culture and heritage." "Bandit Network is thrilled to collaborate with Astar Network on the 'Yoki Origins' journey," said Sandesh B Suvarna, Founder of Bandit Network. "Our White-Labelled Quest solutions with Points SDK, along with promotion through Brave, provide a seamless and engaging experience for users, allowing them to immerse themselves in the Astar ecosystem while celebrating Japanese culture and heritage." Maarten Henskens, Head of Astar Network, commented, "Bandit Network's platform with Brave Ads has been instrumental in bringing the 'Yoki Origins' journey to life. This collaboration underscores our commitment to delivering innovative and engaging experiences to our community as we continue to expand the capabilities of Astar zkEVM." Maarten Henskens, Head of Astar Network, commented, "Bandit Network's platform with Brave Ads has been instrumental in bringing the 'Yoki Origins' journey to life. This collaboration underscores our commitment to delivering innovative and engaging experiences to our community as we continue to expand the capabilities of Astar zkEVM." ** ** Luke Mulks, VP of Business Operations at Brave, highlights the integral role of Bandit Network's solutions in partnership with Brave Ads, "We’re excited for Brave Ads to be collaborating with Bandit Network's White-Labelled Quest solutions to bring awareness and growth for the Astar ecosystem. With collaborations like 'Yoki Origins', Brave Ads demonstrates the ability to use Quests as a growth accelerator. "We’re excited for Brave Ads to be collaborating with Bandit Network's White-Labelled Quest solutions to bring awareness and growth for the Astar ecosystem. With collaborations like 'Yoki Origins', Brave Ads demonstrates the ability to use Quests as a growth accelerator. Brave Ads campaigns will elevate Quests beyond airdrop farmers, introducing Quests to millions of Brave Rewards users. In addition to earning BAT with their attention, Brave Rewards users will now be able to earn even more by participating in Quests through Astar and other participating Bandit Network partners advertising with Brave Ads." Brave Ads campaigns will elevate Quests beyond airdrop farmers, introducing Quests to millions of Brave Rewards users. In addition to earning BAT with their attention, Brave Rewards users will now be able to earn even more by participating in Quests through Astar and other participating Bandit Network partners advertising with Brave Ads." Brave offers Web3 promotional opportunities through Brave Ads for advertisers that pay with BAT for their campaigns , facilitating growth and adoption within the broader Web3 ecosystem. for advertisers that pay with BAT for their campaigns for advertisers that pay with BAT for their campaigns ** ** The "Yoki Origins" journey invites users to explore Astar zkEVM’s unique characters, participate in quests, and collect digital collectibles. Through interactive Capsule Machines, participants can obtain Yokis and artistic creations contributed by various artists, enterprises, and builders. The user journey aims to foster accessibility for individuals unfamiliar with Web3, incorporating social logins and credit card payments. Astar Network serves as a conduit for projects spanning enterprise, entertainment, and gaming to enter the Japanese market and beyond. By propelling global adoption of Web3, Astar aims to build an ecosystem fueled by both Polkadot and Polygon, positioning itself as a leading blockchain for the Japanese market. For more information about Bandit Network and the "Yoki Origins" journey, visit https://yoki.astar.network/en . Bandit Network Bandit Network https://yoki.astar.network/en https://yoki.astar.network/en About Bandit Network: Bandit Network is a leading provider of White-Labelled Quest solutions with Points SDK, offering a no-code platform for engaging and interactive experiences. With a focus on fostering user engagement and loyalty, Bandit Network empowers organisations to create immersive campaigns and events across various industries. Bandit Network Bandit Network Media Contact: Name: Sandesh B Suvarna Designation: Founder Company: Bandit Network Email: sandesh@bandit.network LinkedIn: https://www.linkedin.com/in/sandeshbsuvarna/ Twitter: https://twitter.com/sandeshsuvarna Telegram: https://t.me/SandeshBSuvarna Name: Luke Mulks Designation: VP - Business Operations Company: Brave Email: press@brave.com Twitter: https://twitter.com/lukemulks Twitter: https://twitter.com/brave Advertisers: https://ads.brave.com/ This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. here. here.

Bandit Network's Points SDK And Brave Ads Power Astar zkEVM's Quest Platform "Yoki Origins"

Solana has become a significant player in the transforming landscape of blockchain technology and decentralized finance (DeFi). Blockchain developers prefer it for its high performance, scalability, and vibrant ecosystem to build blockchain and crypto solutions. Crypto swapping and staking are crucial crypto solutions that developers build using Solana blockchain development services. They play a pivotal role in supporting and growing the network. Some of the most popular swapping and staking solutions run on the Solana blockchain. Understanding Swapping on Solana Swapping refers to exchanging one cryptocurrency for another, often facilitated by decentralized exchanges (DEXs) or automated market makers (AMMs). Solana's architecture facilitates speed and efficiency, making swapping on this blockchain network a seamless experience. It allows users to exchange one Solana asset for another effortlessly. This tool eliminates the need to create new frameworks or code structures. For instance, users can swap SOL for assets like Ethereum, Bitcoin, stablecoins such as USDC or USDT, or any token within Solana's SPL token program. To initiate a Solana token swap, users can turn to decentralized exchanges (DEX) that operate as automatic market makers (AMMs). Platforms like Raydium, Dexlab, and Mango Markets are popular choices for Solana token swaps. These exchanges leverage Solana's rapid transaction speed to facilitate instantaneous swaps with minimal fees. Overall, Solana's swapping mechanism on DEX platforms empowers users with the flexibility to trade a diverse array of tokens. It contributes to the dynamic DeFi ecosystem thriving on the Solana blockchain. Benefits of Swapping on Solana 1. High Speed Solana's high throughput enables speedy transaction confirmation, allowing for swift swaps. 2. Low Transaction Costs The Solana network boasts significantly lower transaction fees than many other blockchains, making swapping cost-effective. 3. Wide Range of Assets Solana supports diverse tokens, providing ample opportunities for swapping digital assets. 4. Robust Decentralized Exchanges (DEXs) Solana's ecosystem hosts several decentralized exchanges (DEXs) that operate as automated market makers (AMMs). These platforms, such as Raydium, Serum, and others, leverage Solana's speed and efficiency to offer seamless token swaps with high liquidity. 5. Integrated DeFi Ecosystem Swapping on Solana is not limited to basic token exchanges. The platform's integration with decentralized finance (DeFi) protocols allows for advanced trading features, such as liquidity provision, yield farming, impermanent loss protection, and access to various DeFi products and services. 6. Enhanced User Experience Solana's user-friendly interfaces, fast transaction speeds, and low fees create a smooth user trading experience. Whether you're a beginner or an experienced trader, Solana's swapping capabilities are accessible and efficient. 7. Scalability Solana's scalability allows the network to handle a high volume of transactions without compromising speed or efficiency. This scalability is crucial for maintaining optimal trading conditions, especially during increased market activity. Maximizing Returns through Staking on Solana Solana uses a consensus mechanism called Proof of Stake (PoS). Validators run this mechanism to ensure that all transactions are verified and secured. Solana allows individuals or entities, also known as ‘stakers,’ to lock up a certain amount of SOL directly with validators as collateral to support its consensus mechanism. This process is referred to as ‘staking.’ This economic incentive is vital because it enables the establishment of more high-quality validators, which improves the network's security and efficiency. Staking involves locking up your cryptocurrency holdings in a designated wallet to support network operations and validate transactions. In return, stakers earn rewards through additional tokens or transaction fees. Solana offers robust staking mechanisms, allowing users to participate in securing the network while earning passive income. Key Features of Staking on Solana Proof of Stake (PoS) Consensus Solana utilizes a Proof of Stake consensus mechanism, where validators validate transactions and secure the network. Stakers participate by delegating their tokens to validators, contributing to network security and decentralization. High Yield Potential Solana's staking rewards can be lucrative, allowing stakers to earn attractive returns on their holdings. Network Security By staking SOL (Solana's native token) or other compatible assets, participants contribute to the security and decentralization of the Solana blockchain. Flexibility and Accessibility Solana's staking protocols offer flexibility regarding delegation options and withdrawal mechanisms, catering to many staking preferences. Embracing the Future of Finance with Solana As blockchain technology revolutionizes the financial landscape, Solana remains at the forefront of innovation, offering users unparalleled speed, scalability, and DeFi opportunities. Whether you're a seasoned crypto enthusiast or a newcomer exploring the possibilities of decentralized finance, Solana's robust infrastructure and diverse ecosystem provide a solid foundation for your journey into swapping and staking. CoinGecko Research has recognized Solana as the most popular blockchain in 2024. It indeed stands as a testament to its growing influence and adoption in the crypto community. Final Thoughts Swapping and staking are integral to the vibrant Solana ecosystem, empowering users to optimize their crypto holdings, participate in network governance, and earn passive income. By leveraging Solana's advanced blockchain capabilities and embracing the principles of decentralized finance, you can unlock new avenues for financial growth and innovation in the digital asset space. Are you looking for top-notch Solana development services but confused about where to start? Look no further! Connect with our team of expert Solana developers at Oodles Blockchain. This story was distributed under HackerNoon’s Business Blogging Program. Learn more about the program here: https://business.hackernoon.com/ Solana has become a significant player in the transforming landscape of blockchain technology and decentralized finance (DeFi). Blockchain developers prefer it for its high performance, scalability, and vibrant ecosystem to build blockchain and crypto solutions. Crypto swapping and staking are crucial crypto solutions that developers build using Solana blockchain development services . They play a pivotal role in supporting and growing the network. Some of the most popular swapping and staking solutions run on the Solana blockchain. Solana blockchain development services Understanding Swapping on Solana Understanding Swapping on Solana Swapping refers to exchanging one cryptocurrency for another, often facilitated by decentralized exchanges (DEXs) or automated market makers (AMMs). Solana's architecture facilitates speed and efficiency, making swapping on this blockchain network a seamless experience. It allows users to exchange one Solana asset for another effortlessly. This tool eliminates the need to create new frameworks or code structures. For instance, users can swap SOL for assets like Ethereum, Bitcoin, stablecoins such as USDC or USDT, or any token within Solana's SPL token program. To initiate a Solana token swap, users can turn to decentralized exchanges (DEX) that operate as automatic market makers (AMMs). Platforms like Raydium, Dexlab, and Mango Markets are popular choices for Solana token swaps. These exchanges leverage Solana's rapid transaction speed to facilitate instantaneous swaps with minimal fees. Overall, Solana's swapping mechanism on DEX platforms empowers users with the flexibility to trade a diverse array of tokens. It contributes to the dynamic DeFi ecosystem thriving on the Solana blockchain. Benefits of Swapping on Solana 1. High Speed 1. High Speed Solana's high throughput enables speedy transaction confirmation, allowing for swift swaps. 2. Low Transaction Costs 2. Low Transaction Costs The Solana network boasts significantly lower transaction fees than many other blockchains, making swapping cost-effective. 3. Wide Range of Assets 3. Wide Range of Assets Solana supports diverse tokens, providing ample opportunities for swapping digital assets. 4. Robust Decentralized Exchanges (DEXs) 4. Robust Decentralized Exchanges (DEXs) Solana's ecosystem hosts several decentralized exchanges (DEXs) that operate as automated market makers (AMMs). These platforms, such as Raydium, Serum, and others, leverage Solana's speed and efficiency to offer seamless token swaps with high liquidity. 5. Integrated DeFi Ecosystem 5. Integrated DeFi Ecosystem Swapping on Solana is not limited to basic token exchanges. The platform's integration with decentralized finance (DeFi) protocols allows for advanced trading features, such as liquidity provision, yield farming, impermanent loss protection, and access to various DeFi products and services. 6. Enhanced User Experience 6. Enhanced User Experience Solana's user-friendly interfaces, fast transaction speeds, and low fees create a smooth user trading experience. Whether you're a beginner or an experienced trader, Solana's swapping capabilities are accessible and efficient. 7. Scalability 7. Scalability Solana's scalability allows the network to handle a high volume of transactions without compromising speed or efficiency. This scalability is crucial for maintaining optimal trading conditions, especially during increased market activity. Maximizing Returns through Staking on Solana Solana uses a consensus mechanism called Proof of Stake (PoS). Validators run this mechanism to ensure that all transactions are verified and secured. Solana allows individuals or entities, also known as ‘stakers,’ to lock up a certain amount of SOL directly with validators as collateral to support its consensus mechanism. This process is referred to as ‘staking.’ This economic incentive is vital because it enables the establishment of more high-quality validators, which improves the network's security and efficiency. Staking involves locking up your cryptocurrency holdings in a designated wallet to support network operations and validate transactions. In return, stakers earn rewards through additional tokens or transaction fees. Solana offers robust staking mechanisms, allowing users to participate in securing the network while earning passive income. Key Features of Staking on Solana Proof of Stake (PoS) Consensus Proof of Stake (PoS) Consensus Solana utilizes a Proof of Stake consensus mechanism, where validators validate transactions and secure the network. Stakers participate by delegating their tokens to validators, contributing to network security and decentralization. High Yield Potential High Yield Potential Solana's staking rewards can be lucrative, allowing stakers to earn attractive returns on their holdings. Network Security Network Security By staking SOL (Solana's native token) or other compatible assets, participants contribute to the security and decentralization of the Solana blockchain. Flexibility and Accessibility Flexibility and Accessibility Solana's staking protocols offer flexibility regarding delegation options and withdrawal mechanisms, catering to many staking preferences. Embracing the Future of Finance with Solana As blockchain technology revolutionizes the financial landscape, Solana remains at the forefront of innovation, offering users unparalleled speed, scalability, and DeFi opportunities. Whether you're a seasoned crypto enthusiast or a newcomer exploring the possibilities of decentralized finance, Solana's robust infrastructure and diverse ecosystem provide a solid foundation for your journey into swapping and staking. CoinGecko Research has recognized Solana as the most popular blockchain in 2024. It indeed stands as a testament to its growing influence and adoption in the crypto community. Final Thoughts Swapping and staking are integral to the vibrant Solana ecosystem, empowering users to optimize their crypto holdings, participate in network governance, and earn passive income. By leveraging Solana's advanced blockchain capabilities and embracing the principles of decentralized finance, you can unlock new avenues for financial growth and innovation in the digital asset space. Are you looking for top-notch Solana development services but confused about where to start? Look no further! Connect with our team of expert Solana developers at Oodles Blockchain. Solana developers This story was distributed under HackerNoon’s Business Blogging Program. Learn more about the program here: https://business.hackernoon.com/ This story was distributed under HackerNoon’s Business Blogging Program. Learn more about the program here: https://business.hackernoon.com/ This story was distributed under HackerNoon’s Business Blogging Program. Learn more about the program here: https://business.hackernoon.com/ https://business.hackernoon.com/

Unlocking the Power of Swapping and Staking on Solana

সোলানাতে অদলবদল এবং স্টেকিংয়ের পাওয়ার আনলক করা

Die Macht des Swappings und Stakings auf Solana entfesseln

Liberando el poder de intercambiar y apostar en Solana

Libérer le pouvoir de l’échange et du jalonnement sur Solana

सोलाना पर स्वैपिंग और स्टेकिंग की शक्ति को अनलॉक करना

Solanaでスワッピングとステーキングのパワーを解き放つ

솔라나에서 스왑핑과 스테이킹의 힘을 활용해보세요

Desbloqueando o poder de trocar e apostar em Solana

Раскрытие возможностей обмена и ставок на Solana

Solana'da Takas ve Staking Gücünün Kilidini Açmak

Giải phóng sức mạnh của việc hoán đổi và đặt cược trên Solana

释放 Solana 上的兑换和质押功能

The Power of User Feedback in Product Development

Is GPT Powerful Enough to Analyze the Emotions of Memes?: Discussion and References

Authors:
(1) Jingjing Wang, School of Computing Clemson University Clemson, South Carolina, USA;
(2) Joshua Luo, The Westminster Schools Atlanta, Georgia, USA;
(3) Grace Yang, South Windsor High School South Windsor, Connecticut, USA;
(4) Allen Hong, D.W. Daniel High School Clemson, South Carolina, USA;
(5) Feng Luo, School of Computing Clemson University Clemson, South Carolina, USA. Table of Links Abstract & Introduction Related Work Methodology Experiment Result Discussion and References IV. EXPERIMENT RESULTS In this section, we conducted an in-depth investigation by using the two datasets aforementioned in section 3 to explore the effectiveness of GPT in analyzing sentiments in memes. After carefully evaluating each meme based on the prompts designed, we meticulously collated and analyzed the results. Here is the comprehensive analysis of our findings. Case 1: The results of Facebook Hateful Memes dataset Our initial investigation involved the evaluation of GPT’s proficiency in identifying hateful content within memes using Facebook’s Hate/Non-Hate Classification Dataset. Here we repeat the experiments four times with different prompts. Hateful Content Identification: The task of identifying hateful memes posed a significant challenge. It required the AI to understand not only the content of the image and the accompanying text but also their nuanced interplay. The results showed an accuracy rate of 39% in detecting hateful content with a relatively high standard deviation of 6.87%. It can be seen that the performance of GPT is far less accurate in classifying the hateful memes, and the different prompts would affect the decision of GPT considerably. To accurately flag hateful memes, a model needs to be adept at grasping not only the overt message but also the undertones, context, and subtext. The 39% accuracy rate thus provides us with a baseline for improvement and future model refinements. Non-Hateful Content Identification: On a brighter note, GPT’s performance in recognizing non-hateful memes was much stronger, with an impressive accuracy rate of 80% and much lower standard deviation of 2.69%. The high accuracy suggests that GPT is quite adept at discerning memes that are not hateful, and the different prompts used had minimal impact on its decision-making process. Case 2: Memotion analysis dataset Overall Sentiment Classification: the first task in this series was classifying the overall sentiment of a meme as positive, negative, or neutral. In this regard, GPT achieved an accuracy rate of 79% for positive and 35% for negative. It can be observed that this result is consistent with the performance in the classification of hateful memes in the Facebook dataset, which shows confidence in understanding the positive sentiment in a meme, based on both the visual content and the accompanying text. For negative (for example, offensive in the later paragraph) content detection, the low accuracy still suggests the challenge. Humor recognition: GPT achieved a 60% accuracy rate in the task of recognizing humor. This outcome is notably remarkable, considering the intricate nature of humor as a multifaceted human emotion, often subject to cultural, social, and individual perspectives. The considerable level of accuracy exhibited by GPT indicates its ability to comprehend the humorous aspects present in a diverse range of memes. This result also implies that the GPT has acquired the ability to recognize various indicators of humor to a certain degree. These indicators might be obvious, such as punchlines or visual gags, or implicit, such as irony or absurdity. Sarcasm recognition: the model’s performance in the domain of sarcasm recognition was notably lower, registering an accuracy of 45% as illustrated in Table 2. Though lower, this accuracy level is acceptable given the inherent difficulties of sarcasm detection. Sarcasm often involves expressing the opposite of what is meant, requiring an understanding of context, tone, and frequently shared cultural knowledge. This observation helps to emphasize the limits of the approach in accurately detecting more subtle emotional cues and contextual subtleties. The lower accuracy rate observed in sarcasm recognition highlights the need for further study and model enhancement in this area. Offensive recognition: as seen in Table 2, GPT’s accuracy stood at 37% in recognizing offensive content, presenting the weakest performance. As aforementioned in overall sentiment classification, GPT meets the huge challenge in offensive content recognition. The consistency of this finding illustrates the difficulty associated with detecting offensive content. Comparable to hateful meme classification, offensive content in memes may exhibit subtlety, sometimes concealed within humor or sarcasm, or manifest through a complex interplay of textual and visual elements that can be hard to interpret for an AI. This paper is available on arxiv under CC 4.0 license. Authors: (1) Jingjing Wang, School of Computing Clemson University Clemson, South Carolina, USA; (2) Joshua Luo, The Westminster Schools Atlanta, Georgia, USA; (3) Grace Yang, South Windsor High School South Windsor, Connecticut, USA; (4) Allen Hong, D.W. Daniel High School Clemson, South Carolina, USA; (5) Feng Luo, School of Computing Clemson University Clemson, South Carolina, USA. Authors: (1) Jingjing Wang, School of Computing Clemson University Clemson, South Carolina, USA; (2) Joshua Luo, The Westminster Schools Atlanta, Georgia, USA; (3) Grace Yang, South Windsor High School South Windsor, Connecticut, USA; (4) Allen Hong, D.W. Daniel High School Clemson, South Carolina, USA; (5) Feng Luo, School of Computing Clemson University Clemson, South Carolina, USA. Table of Links Abstract & Introduction Abstract & Introduction Related Work Related Work Methodology Methodology Experiment Result Experiment Result Discussion and References Discussion and References IV. EXPERIMENT RESULTS In this section, we conducted an in-depth investigation by using the two datasets aforementioned in section 3 to explore the effectiveness of GPT in analyzing sentiments in memes. After carefully evaluating each meme based on the prompts designed, we meticulously collated and analyzed the results. Here is the comprehensive analysis of our findings. Case 1: The results of Facebook Hateful Memes dataset Case 1: The results of Facebook Hateful Memes dataset Our initial investigation involved the evaluation of GPT’s proficiency in identifying hateful content within memes using Facebook’s Hate/Non-Hate Classification Dataset. Here we repeat the experiments four times with different prompts. Hateful Content Identification: The task of identifying hateful memes posed a significant challenge. It required the AI to understand not only the content of the image and the accompanying text but also their nuanced interplay. The results showed an accuracy rate of 39% in detecting hateful content with a relatively high standard deviation of 6.87%. It can be seen that the performance of GPT is far less accurate in classifying the hateful memes, and the different prompts would affect the decision of GPT considerably. To accurately flag hateful memes, a model needs to be adept at grasping not only the overt message but also the undertones, context, and subtext. The 39% accuracy rate thus provides us with a baseline for improvement and future model refinements. Non-Hateful Content Identification: On a brighter note, GPT’s performance in recognizing non-hateful memes was much stronger, with an impressive accuracy rate of 80% and much lower standard deviation of 2.69%. The high accuracy suggests that GPT is quite adept at discerning memes that are not hateful, and the different prompts used had minimal impact on its decision-making process. Case 2: Memotion analysis dataset Case 2: Memotion analysis dataset Overall Sentiment Classification: the first task in this series was classifying the overall sentiment of a meme as positive, negative, or neutral. In this regard, GPT achieved an accuracy rate of 79% for positive and 35% for negative. It can be observed that this result is consistent with the performance in the classification of hateful memes in the Facebook dataset, which shows confidence in understanding the positive sentiment in a meme, based on both the visual content and the accompanying text. For negative (for example, offensive in the later paragraph) content detection, the low accuracy still suggests the challenge. Humor recognition: GPT achieved a 60% accuracy rate in the task of recognizing humor. This outcome is notably remarkable, considering the intricate nature of humor as a multifaceted human emotion, often subject to cultural, social, and individual perspectives. The considerable level of accuracy exhibited by GPT indicates its ability to comprehend the humorous aspects present in a diverse range of memes. This result also implies that the GPT has acquired the ability to recognize various indicators of humor to a certain degree. These indicators might be obvious, such as punchlines or visual gags, or implicit, such as irony or absurdity. Sarcasm recognition: the model’s performance in the domain of sarcasm recognition was notably lower, registering an accuracy of 45% as illustrated in Table 2. Though lower, this accuracy level is acceptable given the inherent difficulties of sarcasm detection. Sarcasm often involves expressing the opposite of what is meant, requiring an understanding of context, tone, and frequently shared cultural knowledge. This observation helps to emphasize the limits of the approach in accurately detecting more subtle emotional cues and contextual subtleties. The lower accuracy rate observed in sarcasm recognition highlights the need for further study and model enhancement in this area. Offensive recognition: as seen in Table 2, GPT’s accuracy stood at 37% in recognizing offensive content, presenting the weakest performance. As aforementioned in overall sentiment classification, GPT meets the huge challenge in offensive content recognition. The consistency of this finding illustrates the difficulty associated with detecting offensive content. Comparable to hateful meme classification, offensive content in memes may exhibit subtlety, sometimes concealed within humor or sarcasm, or manifest through a complex interplay of textual and visual elements that can be hard to interpret for an AI. This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

Is GPT Powerful Enough to Analyze the Emotions of Memes?: Experiment Result

Authors:
(1) Jingjing Wang, School of Computing Clemson University Clemson, South Carolina, USA;
(2) Joshua Luo, The Westminster Schools Atlanta, Georgia, USA;
(3) Grace Yang, South Windsor High School South Windsor, Connecticut, USA;
(4) Allen Hong, D.W. Daniel High School Clemson, South Carolina, USA;
(5) Feng Luo, School of Computing Clemson University Clemson, South Carolina, USA. Table of Links Abstract & Introduction Related Work Methodology Experiment Result Discussion and References Abstract Large Language Models (LLMs), representing a significant achievement in artificial intelligence (AI) research, have demonstrated their ability in a multitude of tasks. This project aims to explore the capabilities of GPT-3.5, a leading example of LLMs, in processing the sentiment analysis of Internet memes. Memes, which include both verbal and visual aspects, act as a powerful yet complex tool for expressing ideas and sentiments, demanding an understanding of societal norms and cultural contexts. Notably, the detection and moderation of hateful memes pose a significant challenge due to their implicit offensive nature. This project investigates GPT’s proficiency in such subjective tasks, revealing its strengths and potential limitations. The tasks include the classification of meme sentiment, determination of humor type, and detection of implicit hate in memes. The performance evaluation, using datasets from SemEval-2020 Task 8 and Facebook hateful memes, offers a comparative understanding of GPT responses against human annotations. Despite GPT’s remarkable progress, our findings underscore the challenges faced by these models in handling subjective tasks, which are rooted in their inherent limitations including contextual understanding, interpretation of implicit meanings, and data biases. This research contributes to the broader discourse on the applicability of AI in handling complex, context-dependent tasks, and offers valuable insights for future advancements. Index Terms—memotion analysis, hateful memes detection, GPT model I. INTRODUCTION Large Language Models (LLMs), representing a significant achievement in artificial intelligence (AI) research, have recently gathered substantial interest from both academia and industry. Due to their exceptional capacity to comprehend, generate, and engage in complex linguistic tasks, these models are revolutionizing the development and application of AI algorithms. Equipped with sophisticated algorithms and vast training datasets, LLMs have demonstrated advanced conversational capabilities, processing textual input and output to participate in detailed and meaningful dialogues [6], [10], [11]. OpenAI’s ChatGPT [12] is a prominent representative among these LLMs. It is an AI chatbot backed by the generative pretrained transformer (GPT) model and has attracted a broad societal interest. The proficiency of ChatGPT is particularly noticeable in the realm of question answering, spanning multiple sectors including, but not limited to, healthcare [7] and finance [8]. This model uses its linguistic capabilities to understand questions and generate human-like answers, marking a crucial milestone in AI-driven communication. Nevertheless, despite these impressive feats, LLMs, including GPT, confront considerable challenges when addressing subjective tasks, one such task being the interpretation and annotation of internet memes. Internet memes, modern digital artifacts, encompass a variety of cultural and sociological attitude, and serve as a type of social shorthand among online communities [1], [2]. These memes blend verbal and graphic elements to express complex concepts or feelings in a concise manner. However, the multimodal nature of memes, which combine various images with informal, often humorous or ironic text, introduces an intricate layer of complexity. To comprehend and analyze memes, one must manage the subtle interplay of visual clues, linguistic content, cultural allusions, and common community knowledge. This complexity, along with how subjective memes can be, makes it really tough for LLMs to accurately interpret memes and analyze their sentiment. Sentiment Analysis (SA) primarily concentrate on interpreting user sentiments from textual content. However, due to the proliferation and pervasiveness of multimodal social media data, such as online memes, SA must diversify to handle multimodal data sources. This diversification becomes even more complex when considering ’hateful memes’, which cleverly combine text and images to spread offensive or harmful messages under the guise of humor [3]–[5]. Detecting and moderating such content not only requires understanding the text-image interaction but also a grasp of the cultural context and, in many cases, specific sub-cultural expertise. These challenges call for ongoing research and development in the field, pushing the boundaries and exploring the potential of LLMs like GPT. In this project, we focus on the capabilities and limitations of LLMs like GPT in dealing with subjective and nuanced tasks, particularly internet meme sentiment analysis. This exploration forms the crux of this research, contributing to the broader discussion on the evolving potential and limitations of AI. In this project, we delve into the intricacies of subjectivity, assessing GPT’s performance in tasks necessitating an understanding of societal norms and cultural contexts. Our investigation primarily revolves around two research questions: 1. Can GPT accurately detect implicitly hateful memes given a specific prompt? 2. Can GPT effectively conduct sentiment analysis of memes, including classifying the sentiment of each meme as positive or negative, and categorizing the type of humor into three sub-classes: sarcastic, humorous, and offensive? We draw upon datasets from Facebook’s hateful memes [3] and SemEval-2020 Task 8: Multimodal Memotion Analysis [9] and for this project. The experimental section of the study will present a comparative analysis highlighting the constraints and limitations of GPT’s responses. This paper is available on arxiv under CC 4.0 license. Authors: (1) Jingjing Wang, School of Computing Clemson University Clemson, South Carolina, USA; (2) Joshua Luo, The Westminster Schools Atlanta, Georgia, USA; (3) Grace Yang, South Windsor High School South Windsor, Connecticut, USA; (4) Allen Hong, D.W. Daniel High School Clemson, South Carolina, USA; (5) Feng Luo, School of Computing Clemson University Clemson, South Carolina, USA. Authors: (1) Jingjing Wang, School of Computing Clemson University Clemson, South Carolina, USA; (2) Joshua Luo, The Westminster Schools Atlanta, Georgia, USA; (3) Grace Yang, South Windsor High School South Windsor, Connecticut, USA; (4) Allen Hong, D.W. Daniel High School Clemson, South Carolina, USA; (5) Feng Luo, School of Computing Clemson University Clemson, South Carolina, USA. Table of Links Abstract & Introduction Abstract & Introduction Related Work Related Work Methodology Methodology Experiment Result Experiment Result Discussion and References Discussion and References Abstract Large Language Models (LLMs), representing a significant achievement in artificial intelligence (AI) research, have demonstrated their ability in a multitude of tasks. This project aims to explore the capabilities of GPT-3.5, a leading example of LLMs, in processing the sentiment analysis of Internet memes. Memes, which include both verbal and visual aspects, act as a powerful yet complex tool for expressing ideas and sentiments, demanding an understanding of societal norms and cultural contexts. Notably, the detection and moderation of hateful memes pose a significant challenge due to their implicit offensive nature. This project investigates GPT’s proficiency in such subjective tasks, revealing its strengths and potential limitations. The tasks include the classification of meme sentiment, determination of humor type, and detection of implicit hate in memes. The performance evaluation, using datasets from SemEval-2020 Task 8 and Facebook hateful memes, offers a comparative understanding of GPT responses against human annotations. Despite GPT’s remarkable progress, our findings underscore the challenges faced by these models in handling subjective tasks, which are rooted in their inherent limitations including contextual understanding, interpretation of implicit meanings, and data biases. This research contributes to the broader discourse on the applicability of AI in handling complex, context-dependent tasks, and offers valuable insights for future advancements. Index Terms —memotion analysis, hateful memes detection, GPT model Index Terms I. INTRODUCTION Large Language Models (LLMs), representing a significant achievement in artificial intelligence (AI) research, have recently gathered substantial interest from both academia and industry. Due to their exceptional capacity to comprehend, generate, and engage in complex linguistic tasks, these models are revolutionizing the development and application of AI algorithms. Equipped with sophisticated algorithms and vast training datasets, LLMs have demonstrated advanced conversational capabilities, processing textual input and output to participate in detailed and meaningful dialogues [6], [10], [11]. OpenAI’s ChatGPT [12] is a prominent representative among these LLMs. It is an AI chatbot backed by the generative pretrained transformer (GPT) model and has attracted a broad societal interest. The proficiency of ChatGPT is particularly noticeable in the realm of question answering, spanning multiple sectors including, but not limited to, healthcare [7] and finance [8]. This model uses its linguistic capabilities to understand questions and generate human-like answers, marking a crucial milestone in AI-driven communication. Nevertheless, despite these impressive feats, LLMs, including GPT, confront considerable challenges when addressing subjective tasks, one such task being the interpretation and annotation of internet memes. Internet memes, modern digital artifacts, encompass a variety of cultural and sociological attitude, and serve as a type of social shorthand among online communities [1], [2]. These memes blend verbal and graphic elements to express complex concepts or feelings in a concise manner. However, the multimodal nature of memes, which combine various images with informal, often humorous or ironic text, introduces an intricate layer of complexity. To comprehend and analyze memes, one must manage the subtle interplay of visual clues, linguistic content, cultural allusions, and common community knowledge. This complexity, along with how subjective memes can be, makes it really tough for LLMs to accurately interpret memes and analyze their sentiment. Sentiment Analysis (SA) primarily concentrate on interpreting user sentiments from textual content. However, due to the proliferation and pervasiveness of multimodal social media data, such as online memes, SA must diversify to handle multimodal data sources. This diversification becomes even more complex when considering ’hateful memes’, which cleverly combine text and images to spread offensive or harmful messages under the guise of humor [3]–[5]. Detecting and moderating such content not only requires understanding the text-image interaction but also a grasp of the cultural context and, in many cases, specific sub-cultural expertise. These challenges call for ongoing research and development in the field, pushing the boundaries and exploring the potential of LLMs like GPT. In this project, we focus on the capabilities and limitations of LLMs like GPT in dealing with subjective and nuanced tasks, particularly internet meme sentiment analysis. This exploration forms the crux of this research, contributing to the broader discussion on the evolving potential and limitations of AI. In this project, we delve into the intricacies of subjectivity, assessing GPT’s performance in tasks necessitating an understanding of societal norms and cultural contexts. Our investigation primarily revolves around two research questions: 1. Can GPT accurately detect implicitly hateful memes given a specific prompt? 2. Can GPT effectively conduct sentiment analysis of memes, including classifying the sentiment of each meme as positive or negative, and categorizing the type of humor into three sub-classes: sarcastic, humorous, and offensive? We draw upon datasets from Facebook’s hateful memes [3] and SemEval-2020 Task 8: Multimodal Memotion Analysis [9] and for this project. The experimental section of the study will present a comparative analysis highlighting the constraints and limitations of GPT’s responses. This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

Is GPT Powerful Enough to Analyze the Emotions of Memes?

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